Breast tumor diagnosis via multimodal deep learning using ultrasound B-mode and Nakagami images
Incorporating B-mode and Nakagami information together in a multimodal DL framework improved classification outcomes and increased the amount of diagnostically relevant information accessed by networks, highlighting the potential for automating and standardizing US breast cancer diagnostics to enhance clinical outcomes.
Authors
- Caterina M. Gallippi (ORCID: https://orcid.org/0000-0003-0514-177X)
- Sabiq Muhtadi (ORCID: https://orcid.org/0000-0003-0497-0808)
Institutions
- University of North Carolina at Chapel Hill (US)
- North Carolina State University (US)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1117/1.jmi.12.s2.s22009
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- National Institute of Diabetes and Digestive and Kidney Diseases